Modeling the risk of aquatic species invasion spread through boater movements and river connections

dc.contributor.authorKinsley, Amy C.en
dc.contributor.authorKao, Szu-Yu Zoeen
dc.contributor.authorEnns, Eva A.en
dc.contributor.authorEscobar, Luis E.en
dc.contributor.authorQiao, Huijieen
dc.contributor.authorSnellgrove, Nicholasen
dc.contributor.authorMuellner, Ulirichen
dc.contributor.authorMuellner, Petraen
dc.contributor.authorMuthukrishnan, Ranjanen
dc.contributor.authorCraft, Meggan E.en
dc.contributor.authorLarkin, Daniel J.en
dc.contributor.authorPhelps, Nicholas B. D.en
dc.date.accessioned2025-11-25T14:41:56Zen
dc.date.available2025-11-25T14:41:56Zen
dc.date.issued2024-08-01en
dc.description.abstractAquatic invasive species (AIS) are one of the greatest threats to the functioning of aquatic ecosystems worldwide. Once an invasive species has been introduced to a new region, many governments develop management strategies to reduce further spread. Nevertheless, managing AIS in a new region is challenging because of the vast areas that need protection and limited resources. Spatial heterogeneity in invasion risk is driven by environmental suitability and propagule pressure, which can be used to prioritize locations for surveillance and intervention activities. To better understand invasion risk across aquatic landscapes, we developed a simulation model to estimate the likelihood of a waterbody becoming invaded with an AIS. The model included waterbodies connected via a multilayer network that included boater movements and hydrological connections. In a case study of Minnesota, we used zebra mussels (Dreissena polymorpha) and starry stonewort (Nitellopsis obtusa) as model species. We simulated the impacts of management scenarios developed by stakeholders and created a decision-support tool available through an online application provided as part of the AIS Explorer dashboard. Our baseline model revealed that 89% of new zebra mussel invasions and 84% of new starry stonewort invasions occurred through boater movements, establishing it as a primary pathway of spread and offering insights beyond risk estimates generated by traditional environmental suitability models alone. Our results highlight the critical role of interventions applied to boater movements to reduce AIS dispersal.en
dc.description.sponsorshipLegislative-Citizen Commission on Minnesota Resources; Minnesota Environment and Natural Resource Trust Funden
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1111/cobi.14260en
dc.identifier.eissn1523-1739en
dc.identifier.issn0888-8892en
dc.identifier.issue4en
dc.identifier.pmid38638064en
dc.identifier.urihttps://hdl.handle.net/10919/139754en
dc.identifier.volume38en
dc.language.isoenen
dc.publisherWileyen
dc.rightsCreative Commons Attribution-NonCommercial 4.0 Internationalen
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en
dc.subjectaquatic invasive speciesen
dc.subjectdecision-support toolen
dc.subjectinvasion risken
dc.subjectmultilayer networken
dc.subjectnetwork modelen
dc.subjectresource allocationen
dc.titleModeling the risk of aquatic species invasion spread through boater movements and river connectionsen
dc.title.serialConservation Biologyen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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